39 research outputs found

    Printing techniques : recent developments in pharmaceutical technology

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    In the last few years there has been a huge progress in a development of printing techniques and their application in pharmaceutical sciences and particularly in the pharmaceutical technology. The variety of printing methods makes it necessary to systemize them, explain the principles of operation, and specify the possibilities of their use in pharmaceutical technology. This paper aims to review the printing techniques used in a drug development process. The growing interest in 2D and 3D printing methods results in continuously increasing number of scientific papers. Introduction of the first printed drug SpritamÆ to the market seems to be a milestone of the 3D printing development. Thus, a particular aim of this review is to show the latest achievements of the researchers in the field of the printing medicines

    Fused deposition modeling 3D printing as a method for manufacturing personalized medicines

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    Additive manufacturing techniques, especially methods based on the deposition of thermoplastic material such as Fused deposition modeling (FDM), are gaining more and more applications. Due to the large variety of materials used and the quick ability to produce small batches of products in accordance with the computer project, these methods are considered as a method of dosage forms manufacturing both on an industrial scale as well as in small batches. Numerous scientific studies related to the printing of dosage forms of various structures have been published in recent years. These studies concern both preparations for oral administration, such as tablets and capsules with modified and immediate release of the active pharmaceutical ingredient (API), as well as intraocular dosage forms and wound dressings. In the case of the FDM method, the printing process is preceded by the material preparation step. It consists of the preparation of a drug-loaded filament in the hot-melt extrusion process. After feeding the filament into the printer's head, it is re-heated, liquefied, and precisely deposited on the printer's table in order to reproduce a spatial structure according to the computer design. The filaments used in the printing process of the dosage form should be characterized by, among others: appropriate mechanical strength, high diameter uniformity, and long-term stability. Apart from thermoplastic polymers, other excipients are also used in the composition of the formulation, i.e., disintegrants, plasticizers, and compounds inhibiting the API phase transformations in the polymer matrix. Printed dosage forms are often characterized by a complex internal spatial structure. For this reason, the API release depends not only on the properties of the excipients used, but especially on printouts’ surface area and porosity, as well as the shape and infill density. In addition, conditions during the extrusion and 3D printing processes may result in the dissolution of API in the polymer carrier and accelerate its dissolution rate

    Data-driven modeling of the bicalutamide dissolution from powder systems

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    Low solubility of active pharmaceutical compounds (APIs) remains an important challenge in dosage form development process. In the manuscript, empirical models were developed and analyzed in order to predict dissolution of bicalutamide (BCL) from solid dispersion with various carriers. BCL was chosen as an example of a poor watersoluble API. Two separate datasets were created: one from literature data and another based on in-house experimental data. Computational experiments were conducted using artificial intelligence tools based on machine learning (AI/ML) with a plethora of techniques including artificial neural networks, decision trees, rule-based systems, and evolutionary computations. The latter resulting in classical mathematical equations provided models characterized by the lowest prediction error. In-house data turned out to be more homogeneous, as well as formulations were more extensively characterized than literature-based data. Thus, in-house data resulted in better models than literature-based data set. Among the other covariates, the best model uses for prediction of BCL dissolution profile the transmittance from IR spectrum at 1260 cm−1 wavenumber. Ab initio modeling–based in silico simulations were conducted to reveal potential BCL–excipients interaction. All crucial variables were selected automatically by AI/ML tools and resulted in reasonably simple and yet predictive models suitable for application in Quality by Design (QbD) approaches. Presented data-driven model development using AI/ML could be useful in various problems in the field of pharmaceutical technology, resulting in both predictive and investigational tools revealing new knowledge

    Molecular disorder of bicalutamide : amorphous solid dispersions obtained by solvent methods

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    The effect of solvent removal techniques on phase transition, physical stability and dissolution of bicalutamide from solid dispersions containing polyvinylpyrrolidone (PVP) as a carrier was investigated. A spray dryer and a rotavapor were applied to obtain binary systems containing either 50% or 66% of the drug. Applied techniques led to the formation of amorphous solid dispersions as confirmed by X-ray powder diffractometry and differential scanning calorimetry. Moreover, solid–solid transition from polymorphic form I to form II was observed for bicalutamide spray dried without a carrier. The presence of intermolecular interactions between the drug and polymer molecules, which provides the stabilization of molecularly disordered bicalutamide, was analyzed using infrared spectroscopy. Spectral changes within the region characteristic for amide vibrations suggested that the amide form of crystalline bicalutamide was replaced by a less stable imidic one, characteristic of an amorphous drug. Applied processes also resulted in changes of particle geometry and size as confirmed by scanning electron microscopy and laser diffraction measurements, however they did not affect the dissolution significantly as confirmed by intrinsic dissolution study. The enhancement of apparent solubility and dissolution were assigned mostly to the loss of molecular arrangement by drug molecules. Performed statistical analysis indicated that the presence of PVP reduces the mean dissolution time and improve the dissolution efficiency. Although the dissolution was equally affected by both applied methods of solid dispersion manufacturing, spray drying provides better control of particle size and morphology as well as a lower tendency for recrystallization of amorphous solid dispersions

    Multivariate design of 3D printed immediate-release tablets with liquid crystal-forming drug - itraconazole

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    The simplicity of object shape and composition modification make additive manufacturing a great option for customized dosage form production. To achieve this goal, the correlation between structural and functional attributes of the printed objects needs to be analyzed. So far, it has not been deeply investigated in 3D printing-related papers. The aim of our study was to modify the functionalities of printed tablets containing liquid crystal-forming drug itraconazole by introducing polyvinylpyrrolidone-based polymers into the filament-forming matrices composed predominantly of poly(vinyl alcohol). The e ect of the molecular reorganization of the drug and improved tablets’ disintegration was analyzed in terms of itraconazole dissolution. Micro-computed tomography was applied to analyze how the design of a printed object (in this case, a degree of an infill) a ects its reproducibility during printing. It was also used to analyze the structure of the printed dosage forms. The results indicated that the improved disintegration obtained due to the use of Kollidon®CL-M was more beneficial for the dissolution of itraconazole than the molecular rearrangement and liquid crystal phase transitions. The lower infill density favored faster dissolution of the drug from printed tablets. However, it negatively a ected the reproducibility of the 3D printed object

    How to obtain the maximum properties flexibility of 3d printed ketoprofen tablets using only one drug-loaded filament?

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    The flexibility of dose and dosage forms makes 3D printing a very interesting tool for personalized medicine, with fused deposition modeling being the most promising and intensively developed method. In our research, we analyzed how various types of disintegrants and drug loading in poly(vinyl alcohol)-based filaments affect their mechanical properties and printability. We also assessed the effect of drug dosage and tablet spatial structure on the dissolution profiles. Given that the development of a method that allows the production of dosage forms with different properties from a single drug-loaded filament is desirable, we developed a method of printing ketoprofen tablets with different dose and dissolution profiles from a single feedstock filament. We optimized the filament preparation by hot-melt extrusion and characterized them. Then, we printed single, bi-, and tri-layer tablets varying with dose, infill density, internal structure, and composition. We analyzed the reproducibility of a spatial structure, phase, and degree of molecular order of ketoprofen in the tablets, and the dissolution profiles. We have printed tablets with immediateand sustained-release characteristics using one drug-loaded filament, which demonstrates that a single filament can serve as a versatile source for the manufacturing of tablets exhibiting various release characteristics

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    Receptura leków stomatologicznych

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    Biofarmaceutyczne aspekty podawania leków do oczu

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